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Satellite Monitoring of the Ozonosphere
The importance of controlling total ozone (TO) and surface ultraviolet irradiance is a reason for continuous monitoring of the ozonosphere using various ground-based and satellite methods and instruments. The global monitoring of TO has been carried out with the Russian instrument IKFS-2 on the Mete...
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Published in: | Russian meteorology and hydrology 2021-12, Vol.46 (12), p.849-855 |
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container_title | Russian meteorology and hydrology |
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creator | Timofeev, Yu. M. Nerobelov, G. M. Polyakov, A. V. Virolainen, Ya. A. |
description | The importance of controlling total ozone (TO) and surface ultraviolet irradiance is a reason for continuous monitoring of the ozonosphere using various ground-based and satellite methods and instruments. The global monitoring of TO has been carried out with the Russian instrument IKFS-2 on the Meteor-M No. 2 satellite since 2015. These measurements are conducted during the whole day and in polar night conditions. The developed algorithm based on using artificial neural networks and OMI satellite instrument measurements is periodically updated and allows determining TO with an average total error of 3–5%. The IKFS-2 measurements can be used for analyzing spatial and temporal (seasonal, interannual) variations in ozone, its long-term trends, verifying modern numerical stratospheric models, studying ozone anomalies, etc. The examples of analyzing TO in autumn-spring periods and TO anomalies in winter and spring of 2020 are given. They clearly demonstrate advantages of satellite TO measurements with the thermal radiation method. |
doi_str_mv | 10.3103/S1068373921120062 |
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The IKFS-2 measurements can be used for analyzing spatial and temporal (seasonal, interannual) variations in ozone, its long-term trends, verifying modern numerical stratospheric models, studying ozone anomalies, etc. The examples of analyzing TO in autumn-spring periods and TO anomalies in winter and spring of 2020 are given. 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M.</creatorcontrib><creatorcontrib>Nerobelov, G. M.</creatorcontrib><creatorcontrib>Polyakov, A. V.</creatorcontrib><creatorcontrib>Virolainen, Ya. A.</creatorcontrib><title>Satellite Monitoring of the Ozonosphere</title><title>Russian meteorology and hydrology</title><addtitle>Russ. Meteorol. Hydrol</addtitle><description>The importance of controlling total ozone (TO) and surface ultraviolet irradiance is a reason for continuous monitoring of the ozonosphere using various ground-based and satellite methods and instruments. The global monitoring of TO has been carried out with the Russian instrument IKFS-2 on the Meteor-M No. 2 satellite since 2015. These measurements are conducted during the whole day and in polar night conditions. The developed algorithm based on using artificial neural networks and OMI satellite instrument measurements is periodically updated and allows determining TO with an average total error of 3–5%. The IKFS-2 measurements can be used for analyzing spatial and temporal (seasonal, interannual) variations in ozone, its long-term trends, verifying modern numerical stratospheric models, studying ozone anomalies, etc. The examples of analyzing TO in autumn-spring periods and TO anomalies in winter and spring of 2020 are given. They clearly demonstrate advantages of satellite TO measurements with the thermal radiation method.</description><subject>Algorithms</subject><subject>Anomalies</subject><subject>Artificial neural networks</subject><subject>Atmospheric Sciences</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Error analysis</subject><subject>Instruments</subject><subject>Irradiance</subject><subject>Measuring instruments</subject><subject>Meteorology</subject><subject>Monitoring</subject><subject>Neural networks</subject><subject>Ozone</subject><subject>Ozone anomalies</subject><subject>Ozonosphere</subject><subject>Satellite instruments</subject><subject>Satellite-borne instruments</subject><subject>Satellites</subject><subject>Spring</subject><subject>Spring (season)</subject><subject>Stratospheric models</subject><subject>Thermal radiation</subject><subject>Ultraviolet irradiances</subject><subject>Ultraviolet radiation</subject><issn>1068-3739</issn><issn>1934-8096</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp1kDFPwzAQhS0EEqXwA9giMTAF7uzYjkdUQUEq6lCYLSexaaoQB9sd4NeTqEgMiOlOeu97p3uEXCLcMAR2u0EQJZNMUUQKIOgRmaFiRV6CEsfjPsr5pJ-Ssxh3AFzQQs7I9cYk23Vtstmz79vkQ9u_Zd5laWuz9ZfvfRy2NthzcuJMF-3Fz5yT14f7l8VjvlovnxZ3q7xmKFKunKykpBwbRuumcYXltKFgDWs4w8qhMqqWqBRiVXLFHedYUSEFmNIILticXB1yh-A_9jYmvfP70I8nNRW0RC45yNGFB1cdfIzBOj2E9t2ET42gpz70nz5Ghh6YOEw_2vCb_D_0DUSiX1s</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Timofeev, Yu. 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M.</creatorcontrib><creatorcontrib>Nerobelov, G. M.</creatorcontrib><creatorcontrib>Polyakov, A. V.</creatorcontrib><creatorcontrib>Virolainen, Ya. A.</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Russian meteorology and hydrology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Timofeev, Yu. M.</au><au>Nerobelov, G. 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The developed algorithm based on using artificial neural networks and OMI satellite instrument measurements is periodically updated and allows determining TO with an average total error of 3–5%. The IKFS-2 measurements can be used for analyzing spatial and temporal (seasonal, interannual) variations in ozone, its long-term trends, verifying modern numerical stratospheric models, studying ozone anomalies, etc. The examples of analyzing TO in autumn-spring periods and TO anomalies in winter and spring of 2020 are given. They clearly demonstrate advantages of satellite TO measurements with the thermal radiation method.</abstract><cop>Moscow</cop><pub>Pleiades Publishing</pub><doi>10.3103/S1068373921120062</doi><tpages>7</tpages></addata></record> |
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subjects | Algorithms Anomalies Artificial neural networks Atmospheric Sciences Earth and Environmental Science Earth Sciences Error analysis Instruments Irradiance Measuring instruments Meteorology Monitoring Neural networks Ozone Ozone anomalies Ozonosphere Satellite instruments Satellite-borne instruments Satellites Spring Spring (season) Stratospheric models Thermal radiation Ultraviolet irradiances Ultraviolet radiation |
title | Satellite Monitoring of the Ozonosphere |
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